A Hybrid Short-Term Traffic Flow Prediction Model Based on Singular Spectrum Analysis and Kernel Extreme Learning Machine

Short-term traffic flow prediction is one of the most important issues in the field of intelligent transport system (ITS). Because of the uncertainty and nonlinearity, short-term traffic flow prediction is a challenging task. In order to improve the accuracy of short-time traffic flow prediction, a...

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Detalles Bibliográficos
Autores principales: Shang, Qiang, Lin, Ciyun, Yang, Zhaosheng, Bing, Qichun, Zhou, Xiyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4995046/
https://www.ncbi.nlm.nih.gov/pubmed/27551829
http://dx.doi.org/10.1371/journal.pone.0161259

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4995046/
https://www.ncbi.nlm.nih.gov/pubmed/27551829
http://dx.doi.org/10.1371/journal.pone.0161259

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